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AI+ Network™

# AT-510

Transform the Future of Networking with AI

The AI+ Network™ certification course equips professionals with the essential knowledge and technical skills to master the intersection of artificial intelligence and advanced networking technologies. This program delves into core networking concepts such as Software-Defined Networking (SDN) and Network Function Virtualization (NFV) while exploring how AI revolutionizes network efficiency, scalability, and security. Participants will learn AI-powered automation techniques, orchestration strategies, and network optimization methods, enabling them to implement intelligent and efficient network operations. With hands-on projects and cutting-edge labs, learners gain practical experience to address real-world challenges. This certification prepares candidates to excel in AI-enhanced networking environments and secure leadership roles in the fast-evolving tech landscape.

$495.00

High-Quality Video, E-book & Audiobook

Modules Quizzes

AI Mentor

Access for Tablet & Phone

Certificate of Completion

LABs Practices

Prerequisites

Basic Networking Fundamentals: Understanding of networking principles, including TCP/IP, routing, and subnetting.
Programming Experience: Familiarity with Python or other programming languages for implementing AI-driven networking solutions.
Knowledge of AI and Machine Learning: Foundational concepts such as supervised learning, reinforcement learning, and neural networks.
Experience with Network Tools: Prior use of network monitoring and management tools is advantageous.

Exam Details

Exam Blueprint

Modules	Percentage
Networking Foundations	13
Advanced Networking Technologies	16
AI in Networking	16
Network Automation and Orchestration	16
AI-Enhanced Network Security	13
Practical Labs and Hands-On Projects	13
Emerging Trends and Future Directions	13

Self Study Materials Included

Videos

Engaging visual content to enhance understanding and learning experience.

Podcasts

Insightful audio sessions featuring expert discussions and real-world cases.

Audiobooks

Listen and learn anytime with convenient audio-based knowledge sharing.

E-Books

Comprehensive digital guides offering in-depth knowledge and learning support.

Labs

Interactive lab sessions to apply concepts and strengthen technical skills.

Module Wise Quizzes

Interactive assessments to reinforce learning and test conceptual clarity.

Additional Resources

Listen and learn anytime with convenient audio-based knowledge sharing.

Tools You'll Master

Elastic

Juniper

Netdata

What Will You Learn?

AI-Driven Network Automation

Master techniques to design and implement automated network operations powered by AI, reducing manual intervention and improving efficiency.

AI-Powered Network Security

Develop expertise in leveraging AI algorithms to detect, prevent, and mitigate cyber threats through real-time monitoring and predictive analytics.

Network Optimization with AI

Learn to apply AI and machine learning for enhancing network performance, including faster data transfer speeds, reliability, and scalability.

Incident Response and AI-Driven Cybersecurity Intelligence

Understand how to use AI tools for incident detection, response strategies, and forensic analysis to strengthen network defenses.

Certification Modules

Module 1: Networking Foundations

1.1 Basic Networking Concepts
1.2 Networking Protocols and Standards
1.3 Network Infrastructure and Design
1.4 Introduction to Network Security

Module 2: Advanced Networking Technologies

2.1 Network Virtualization and Cloud Networking
2.2 Emerging Network Architectures
2.3 Advanced Routing and Switching
2.4 Network Storage and Data Centers

Module 3: AI in Networking

3.1 Introduction to AI and Machine Learning
3.2 AI-Driven Network Optimization
3.3 AI for Network Security and Threat Detection
3.4 AI-Enhanced Network Management

Module 4: Network Automation and Orchestration

4.1 Fundamentals of Network Automation
4.2 AI-Driven Network Orchestration
4.3 Policy-Driven Network Management
4.4 Case Studies in Network Automation

Module 5: AI-Enhanced Network Security

5.1 Advanced Threat Detection with AI
5.2 Secure Network Design and Architecture
5.3 AI for Cybersecurity Intelligence
5.4 Ethical Considerations in AI-Driven Security

Module 6: Practical Labs and Hands-On Projects

6.1 Network Simulation and Emulation
6.2 AI-Driven Network Automation Projects
6.3 AI for Network Security Projects
6.4 Capstone Project (Using Google Colab and Azure cloud)

Module 7: Emerging Trends and Future Directions

7.1 Future of AI in Networking
7.2 AI-Powered IoT Networks
7.3 Blockchain and AI in Networking
7.4 Continuous Learning and Career Development

Optional Module: AI Agents for Network Management

1. Understanding AI Agents
2. Case Studies
3. Hands-On Practice with AI Agents

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